Abstract
Power generation by employing new energy, such as wind, photovoltaic, has gradually replaced traditional high energy consumption methods. As a large number of wind farm equipment are put into use, the maintenance cost of wind turbine blades accounts for a high proportion of all accessories in the system. Traditional wind power patrol mode is relatively complex, requiring patrol inspectors to climb the blade from the inside to the outside, which cannot fully guarantee the safety of the inspectors and has low work efficiency. With the gradual maturity of unmanned aerial vehicle (UAV) related techniques, the idea of integrating UAV with patrol inspection for power system has been raised, however, till now, the reports on combining the very wind power patrol inspection with UAV are more of theoretical rationality researches but less of practical feasibility studies. In this paper, a three-dimensional (3D) fully autonomous inspection method for wind power employing UAV wind power based on the fifth generation (5G) wireless communication system and artificial intelligence (AI) has been proposed. By applying this method to the maintenance of actual wind power system, it is proved that it can achieve autonomous path planning and cruise for UAV in wind turbine blade inspection.
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